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You are to submit your completed MATLAB code and a short written report through the Blackboard upload facility as a single zip ?le. This zip ?le should consist of your ?nite volume function M-?le, together with any other supporting function M-?les, and a script M-?le that generates the results presented in your report. The report itself should be no more than about ten pages, and should present and discuss the results of your investigation.
Additionally, everyone must submit a separate statement of contribution outlining, in your opinion, what each group member contributed to the assignment. It is expected that each group member will contribute in some signi?cant way to all aspects of the assignment: theoretical development, coding, testing, and report writing/proofreading. Individuals who fail to contribute satisfactorily to the group e?ort may be given a lower overall mark.
whats thye procedure for entering say an LP model, maximisation an objective funtion ''10x+3y'' subject to: 40 300x +298y>=299 x+y=1
This project carries 50% of your ?nal mark. Please hand in your work to the Mathematical and Physical Sciences School O?ce, no later than 4pm Monday 21st January 2013. Please ?l
(a) Find the spectrum of this waveform: x = [ exp( -[0:1:49]/10), exp(-[50:-1:1]/10)]. Subplot only the magnitude by using the spectrum program from the class notes. (b) Using
Perform the convolution of following sequences (a) x[n] = [1 2 3], N1 = 1 and h[n] = [1 - 1], N2 = 1 (b) x[n] = [1 2 3], N1 = 2 and h[n] = [1 - 1], N2 = 1 (c) x[n] = [1 2 3], N1 =
-The program should run always until the user enters -1 to exit from the program. - In the main, you should ask user to input any angles in degrees (Ad) and an integer number (N).
i want help in coding part...
A 12-point sequence is x (n) defined as x(n) = { 1, 2, 3, 4, 5, 6, 6, 5, 4, 3, 2, 1}. Write MATLAB programs to (a) Determine the DFT X (k) of x(n) and plot (using stem function)
Implement a single-layer perceptron and train it to translate the digital letters given in the file "pattern1" into the corresponding ASCII representation. Plot a training curve an
I have a file to be read in matlab which carries different columns in it. Each column has around 200000 readings in set of 2000. I want a code in a loop which gives stores each col
1. Write a function to threshold your images separating the background from the foreground: Implement the "peakiness" detection algorithm described in class. The output of your
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